메뉴 건너뛰기




Volumn 30, Issue 1, 2009, Pages 122-137

Discrete dynamic bayesian network analysis of fMRI data

Author keywords

Amygdala; Bayesian networks; Dementia; Functional connectivity; Nonlinear analysis; Talairach atlas

Indexed keywords

AGED; AMYGDALOID NUCLEUS; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYESIAN LEARNING; BRAIN REGION; CONTROLLED STUDY; DEMENTIA; ENTORHINAL CORTEX; FOURIER ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; NORMAL DISTRIBUTION; OCCIPITAL CORTEX; PARIETAL LOBE; PRIORITY JOURNAL; RANDOMIZATION; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

EID: 58149350434     PISSN: 10659471     EISSN: None     Source Type: Journal    
DOI: 10.1002/hbm.20490     Document Type: Article
Times cited : (52)

References (50)
  • 1
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • Petrov BN, Csaki F, editors, Budapest: Academiai Kiado. pp
    • Akaike H (1973): Information theory and an extension of the maximum likelihood principle. In: Petrov BN, Csaki F, editors. Second International Symposium on Information Theory. Budapest: Academiai Kiado. pp 267-281.
    • (1973) Second International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 2
    • 0242322730 scopus 로고    scopus 로고
    • The amygdala and autism: Implications from non-human primate studies
    • Amaral DG, Bauman MD, Schumann CM (2003): The amygdala and autism: Implications from non-human primate studies. Genes Brain Behavior 2:295-302.
    • (2003) Genes Brain Behavior , vol.2 , pp. 295-302
    • Amaral, D.G.1    Bauman, M.D.2    Schumann, C.M.3
  • 4
    • 0035377249 scopus 로고    scopus 로고
    • Partial directed coherence: A new concept in neural structure determination
    • Baccala LA, Sameshima K (2001): Partial directed coherence: A new concept in neural structure determination. Biol Cybern 84:463-474.
    • (2001) Biol Cybern , vol.84 , pp. 463-474
    • Baccala, L.A.1    Sameshima, K.2
  • 5
    • 0842324664 scopus 로고    scopus 로고
    • The development of social behavior following neonatal amygdala lesions in rhesus monkeys
    • Bauman MD, Lavenex P, Mason WA, Capitanio JP, Amaral DG (2004): The development of social behavior following neonatal amygdala lesions in rhesus monkeys. J Cogn Neurosci 16:1388-1411.
    • (2004) J Cogn Neurosci , vol.16 , pp. 1388-1411
    • Bauman, M.D.1    Lavenex, P.2    Mason, W.A.3    Capitanio, J.P.4    Amaral, D.G.5
  • 6
    • 33645775748 scopus 로고    scopus 로고
    • A Bayesian approach to modeling dynamic effective connectivity with fMRI data
    • Bhattacharya S, Ho MR, Purkayastha S (2006): A Bayesian approach to modeling dynamic effective connectivity with fMRI data. Neuroimage 30:794-812.
    • (2006) Neuroimage , vol.30 , pp. 794-812
    • Bhattacharya, S.1    Ho, M.R.2    Purkayastha, S.3
  • 7
    • 0029013727 scopus 로고
    • Staging of Alzheimers-disease-related neurofibrillary changes
    • Braak H, Braak E (1995): Staging of Alzheimers-disease-related neurofibrillary changes. Neurobiol Aging 6:271-278.
    • (1995) Neurobiol Aging , vol.6 , pp. 271-278
    • Braak, H.1    Braak, E.2
  • 9
    • 0030666829 scopus 로고    scopus 로고
    • Modulation of connectivity in visual pathways by attention: Cortical interactions evaluated with structural equation modeling and fMRI
    • Büchel C, Friston KJ (1997): Modulation of connectivity in visual pathways by attention: Cortical interactions evaluated with structural equation modeling and fMRI. Cerebral Cortex 7:768-778.
    • (1997) Cerebral Cortex , vol.7 , pp. 768-778
    • Büchel, C.1    Friston, K.J.2
  • 10
    • 0035171447 scopus 로고    scopus 로고
    • Functional brain imaging of young, nondemented, and demented older adults
    • Buckner RL, Snyder A, Sanders A, Marcus R, Morris J (2000): Functional brain imaging of young, nondemented, and demented older adults. J Cogn Neurosci 12:24-34.
    • (2000) J Cogn Neurosci , vol.12 , pp. 24-34
    • Buckner, R.L.1    Snyder, A.2    Sanders, A.3    Marcus, R.4    Morris, J.5
  • 12
    • 58149333967 scopus 로고    scopus 로고
    • Comprehensibility of generative versus class discriminative dynamic Bayesian multinets
    • AAAI, Pittsburg, PA
    • Burge J, Lane T (2005b): Comprehensibility of generative versus class discriminative dynamic Bayesian multinets. Human Comprehensible Machine Learning Workshop. AAAI, Pittsburg, PA.
    • (2005) Human Comprehensible Machine Learning Workshop
    • Burge, J.1    Lane, T.2
  • 15
    • 0026374073 scopus 로고
    • Bayesian networks without tears
    • Charniak E (1991): Bayesian networks without tears. AI Mag 12:4.
    • (1991) AI Mag , vol.12 , pp. 4
    • Charniak, E.1
  • 16
    • 0003846047 scopus 로고
    • Learning Bayesian networks is NP-Hard
    • Technical Report MSR-TR-94-17. Microsoft
    • Chickering D, Geiger D, Heckerman D (1994): Learning Bayesian networks is NP-Hard. Technical Report MSR-TR-94-17. Microsoft.
    • (1994)
    • Chickering, D.1    Geiger, D.2    Heckerman, D.3
  • 17
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper G, Herskovits E (1992): A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9:309-347.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.1    Herskovits, E.2
  • 18
    • 0030175198 scopus 로고    scopus 로고
    • AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
    • Cox RW (1996): AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 29:162-173.
    • (1996) Comput Biomed Res , vol.29 , pp. 162-173
    • Cox, R.W.1
  • 20
    • 58149329218 scopus 로고    scopus 로고
    • fMRIDC (2004): The fMRI Data Center. Dartmouth. Available at http://1x50.fmridc.org/f/fmridc.
    • fMRIDC (2004): The fMRI Data Center. Dartmouth. Available at http://1x50.fmridc.org/f/fmridc.
  • 21
    • 14544285081 scopus 로고    scopus 로고
    • Models of brain function in neuroimaging
    • Friston KJ (2005): Models of brain function in neuroimaging. Ann Rev Psychol 56:57-87.
    • (2005) Ann Rev Psychol , vol.56 , pp. 57-87
    • Friston, K.J.1
  • 25
    • 0029979798 scopus 로고    scopus 로고
    • Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer's disease
    • Gomezisla T, Price JL, McKeel DW, Morris JC, Growdon JH, Hyman BT (1996): Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer's disease. J Neurosci 16:4491-4500.
    • (1996) J Neurosci , vol.16 , pp. 4491-4500
    • Gomezisla, T.1    Price, J.L.2    McKeel, D.W.3    Morris, J.C.4    Growdon, J.H.5    Hyman, B.T.6
  • 26
    • 0035050289 scopus 로고    scopus 로고
    • Altered brain functional connectivity and impaired short-term memory in Alzheimer's disease
    • Grady CL, Furey ML, Pietrini P, Horwitz B, Rapoport SL (2001): Altered brain functional connectivity and impaired short-term memory in Alzheimer's disease. Brain 124:739-756.
    • (2001) Brain , vol.124 , pp. 739-756
    • Grady, C.L.1    Furey, M.L.2    Pietrini, P.3    Horwitz, B.4    Rapoport, S.L.5
  • 27
    • 14344256569 scopus 로고    scopus 로고
    • Learning Bayesian network classifiers by maximizing conditional likelihood
    • Alberta, Canada, pp
    • Grossman D, Domingos P (2004): Learning Bayesian network classifiers by maximizing conditional likelihood. International Conference on Machine Learning, Alberta, Canada, pp 361-368.
    • (2004) International Conference on Machine Learning , pp. 361-368
    • Grossman, D.1    Domingos, P.2
  • 28
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman D, Geiger D, Chickering DM (1995), Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning 20:197-243.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 29
    • 17644380855 scopus 로고    scopus 로고
    • Solla SA, Leen TK, Muller KR. editors. Advances in Neural Information Processing Systems. Cambridge: MIT Press
    • Hojen-Sorensen P, Hansen L, Rasmussen C (2000): Bayesian modeling of fMRI time series. In: Solla SA, Leen TK, Muller KR. editors. Advances in Neural Information Processing Systems. Cambridge: MIT Press.
    • (2000) Bayesian modeling of fMRI time series
    • Hojen-Sorensen, P.1    Hansen, L.2    Rasmussen, C.3
  • 31
    • 0142025290 scopus 로고    scopus 로고
    • Functional connectivity: Studying nonlinear, delayed interactions between BOLD signals
    • Lahaye P, Poline J, Flandin G, Dodel S, Garnero L (2003): Functional connectivity: Studying nonlinear, delayed interactions between BOLD signals. Neuroimage 20:962-974.
    • (2003) Neuroimage , vol.20 , pp. 962-974
    • Lahaye, P.1    Poline, J.2    Flandin, G.3    Dodel, S.4    Garnero, L.5
  • 34
    • 1942452317 scopus 로고    scopus 로고
    • Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Search Learning
    • Arlington, VA: AUAI Press, pp
    • Moore A, Wong W (2003): Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Search Learning. Proceedings of the Twentieth International Conference on Machine Learning. Arlington, VA: AUAI Press, pp 552-559.
    • (2003) Proceedings of the Twentieth International Conference on Machine Learning , pp. 552-559
    • Moore, A.1    Wong, W.2
  • 35
    • 0027425211 scopus 로고
    • Clinical dementia rating
    • Morris JC (1993): Clinical dementia rating. Neurology 43:2412-2414.
    • (1993) Neurology , vol.43 , pp. 2412-2414
    • Morris, J.C.1
  • 38
    • 33645218351 scopus 로고    scopus 로고
    • A Bayesian approach to determining connectivity of the human brain
    • Patel R, Bowman F, Rilling J (2006): A Bayesian approach to determining connectivity of the human brain. Hum Brain Mapp 27:267-276.
    • (2006) Hum Brain Mapp , vol.27 , pp. 267-276
    • Patel, R.1    Bowman, F.2    Rilling, J.3
  • 39
    • 46149134436 scopus 로고
    • Fusion, propagation and structuring in belief networks
    • Pearl J (1986): Fusion, propagation and structuring in belief networks. Artif Intell 29:241-288.
    • (1986) Artif Intell , vol.29 , pp. 241-288
    • Pearl, J.1
  • 40
    • 0032331836 scopus 로고    scopus 로고
    • Graphs, causality, and structural equation models
    • Pearl J (1998): Graphs, causality, and structural equation models. Sociologic Methods Res 27:226-284.
    • (1998) Sociologic Methods Res , vol.27 , pp. 226-284
    • Pearl, J.1
  • 41
    • 7044235213 scopus 로고    scopus 로고
    • Modeling functional integration: A comparison of structural equation and dynamic causal models
    • Penny WD, Stephan KE, Mechelli A, Friston KJ (2004), Modeling functional integration: A comparison of structural equation and dynamic causal models. Neuroimage 23 (Suppl 1):S264-S274.
    • (2004) Neuroimage , vol.23 , Issue.SUPPL. 1
    • Penny, W.D.1    Stephan, K.E.2    Mechelli, A.3    Friston, K.J.4
  • 42
    • 0001091737 scopus 로고
    • Generating surrogate data for time series with several simultaneously measured variables
    • Prichard D, Theiler J (1994), Generating surrogate data for time series with several simultaneously measured variables. Phys Rev Lett 14:951-954.
    • (1994) Phys Rev Lett , vol.14 , pp. 951-954
    • Prichard, D.1    Theiler, J.2
  • 43
    • 58149354962 scopus 로고    scopus 로고
    • Altered communication between emotion-related brain regions supports short-term memory in Alzheimer's disease
    • Rosenbaum RS, Furey ML, Horwitz B, Grady CL (2004): Altered communication between emotion-related brain regions supports short-term memory in Alzheimer's disease. Soc Neurosci Abstr 203:8.
    • (2004) Soc Neurosci Abstr , vol.203 , pp. 8
    • Rosenbaum, R.S.1    Furey, M.L.2    Horwitz, B.3    Grady, C.L.4
  • 44
    • 0344013574 scopus 로고    scopus 로고
    • The human amygdala: An evolved system for relevance detection
    • Sander D, Grafman J, Zalla T (2003): The human amygdala: An evolved system for relevance detection. Rev Neurosci 14:303-316.
    • (2003) Rev Neurosci , vol.14 , pp. 303-316
    • Sander, D.1    Grafman, J.2    Zalla, T.3
  • 45
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G (1978): Estimating the dimension of a model. Ann Stat 6:461-464.
    • (1978) Ann Stat , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 48
    • 0028203257 scopus 로고
    • Topographic organization of the reciprocal connections between the monkey entorhinal cortex and the perirhinal and parahippocampal cortices
    • Suzuki WA, Amaral DG (1994): Topographic organization of the reciprocal connections between the monkey entorhinal cortex and the perirhinal and parahippocampal cortices. J Neurosci 14:1856-1877.
    • (1994) J Neurosci , vol.14 , pp. 1856-1877
    • Suzuki, W.A.1    Amaral, D.G.2
  • 49
    • 58149330886 scopus 로고    scopus 로고
    • Veropoulos K, Campbell C, Cristianini N (1999) Controlling the sensitivity of support vector machines. Proceedings of the International Joint Conference on Artificial Intelligence, Workshop MLS, Stockholm, Sweden, pp 55-60.
    • Veropoulos K, Campbell C, Cristianini N (1999) Controlling the sensitivity of support vector machines. Proceedings of the International Joint Conference on Artificial Intelligence, Workshop MLS, Stockholm, Sweden, pp 55-60.
  • 50
    • 0035212159 scopus 로고    scopus 로고
    • Temporal autocorrelation in univariate linear modeling of FMRI Data
    • Woolrich MW, Ripley BD, Brady M, Smith SM (2001): Temporal autocorrelation in univariate linear modeling of FMRI Data. Neuroimage 14:1370-1386.
    • (2001) Neuroimage , vol.14 , pp. 1370-1386
    • Woolrich, M.W.1    Ripley, B.D.2    Brady, M.3    Smith, S.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.